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HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning
Concept drift, driven by the rapid evolution of Android malware, severely degrades the performance of machine learning detectors. Current adaptation strategies are often reactive, responding only after performance has dropped and imposing a significant manual annotation burden, or they are proactive
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